Remove 2018 Remove Latency Remove Systems
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform.

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The Netflix Cosmos Platform

The Netflix TechBlog

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007. Delivery?—?A

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This architecture shift greatly reduced the processing latency and increased system resiliency. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

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Extending Vector with eBPF to inspect host and container performance

The Netflix TechBlog

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

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Stuff The Internet Says On Scalability For December 21st, 2018

High Scalability

odrotbohm : I’ve seen microservice based systems more deranged after 2 years than any 1,5 decades old monolith could ever have been. Tim Bray : How to talk about [Serverless Latency] · To start with, don’t just say “I need 120ms.” Me : Nothing special. 1) Enterprise data centres will continue to close.

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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

Created by Alastair Robertson , bpftrace is an open source high-level tracing front-end that lets you analyze systems in custom ways. eBPF (extended Berkeley Packet Filter) is in the Linux kernel and is the new hotness in systems engineering. Here's key differences as of August 2018: Type DTrace bpftrace. Attaching 2 probes. ^C

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